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FPGA-based low latency machine learning

This project involves the design of novel low-latency trading systems by combining FPGA hardware and machine learning. more...

Supervisor(s): Leong, Philip (Professor), Jin, Craig (Associate Professor), McEwan, Alistair (Professor)

Using a patient’s respiratory and cardiac signal to adjust image acquisition.

Imaging a lung tumour is difficult because the tumour and organs are blurred as we breathe and our heart beats. The aim of this project is to eliminate blurring caused by respirato more...

Supervisor(s): O'Brien, Ricky (Associate Professor)

Imaging a patient while they move

Diagnosing knee, shoulder and back complaints can be difficult because we currently cannot image a patient as they walk or pick up an object. The aim of this project is to develop more...

Supervisor(s): O'Brien, Ricky (Associate Professor)

Playground standards and fall height: is there evidence of their impact on paediatric head injuries?

The objective of the Australian Standard (AS) for Playgrounds (AS4685) is to minimize the risk of injury to playground users. It provides requirements for siting, designing and deve more...

Supervisor(s): Sharwood, Lisa (Dr)

Determining Value and Impact of the CPC through stakeholder analysis

The Charles Perkin Centre (CPC) officially launched in 2014 is the central hub and flagship of Sydney University to provide collaboration for interdisciplinary research amongst var more...

Supervisor(s): Chung, Kenneth (Dr)

Low-power Intelligent Bio-Signal Processing

This project aims at developing a responsive implant that is making decisions based on smart bio-signal processing. more...

Supervisor(s): Kavehei, Omid (Dr)

Genomics of Golden Staph: Discovering genomic markers of transmission of Staphylococcus aureus in hospital settings

An opportunity exists for a PhD candidate to undertake work on the molecular epidemiology of Staphylococcus aureus infections in hospitals. Elements of the PhD project may include: more...

Supervisor(s): O’Sullivan, Matthew (Dr)

Towards a social network-inspired model for understanding evidence uptake and pain management in cancer care

This project is aimed at understanding treatment processes and decisions made by medical practitioners (e.g. nurses) involved in cancer care. In particular, we aim to model the role more...

Supervisor(s): Chung, Kenneth (Dr)

Towards a social network-inspired model for improving medical referrals in cancer care

This project is aimed at understanding how general practitioners (GP) tap into their professional network for making cancer patient referrals to appropriate specialist units. The so more...

Supervisor(s): Chung, Kenneth (Dr)

Phase Contrast Imaging of the Breast

A novel method for imaging breast cancer more...

Supervisor(s): Brennan, Patrick (Professor)